# DEFINE SUCCESS METRICS PROCESS (Data-Centric, Structured Interaction, AI Proposes & Refines) ## Process Steps: 1. AI: Verify Schema access. Access Project State. Verify Charter/Plan formalized. 2. AI: Initialize/Access Success Metrics data object. 3. AI: Receive user input (initial ideas or feedback). 4. AI: Generate/Refine Metrics Data Proposal based on Charter, Plan, input, state. 5. AI: Update Project State (Draft Metrics Data). 6. AI: Identify criteria needing confirmation. 7. AI: Formulate yes/no confirmation questions. 8. AI: Structure AI output turn (project ID, status, summary, questions). 9. AI: Present structured AI output turn to user. 10. User: Responds Yes/No or corrects. 11. AI: If correction, return to step 4. If Yes, update state. 12. AI: Assess formalization. Update status/version if confirmed. Update metadata timestamp. 13. AI: Formulate completion question (if Active) or return to step 6. 14. AI: Present completion question. If "Yes", signal completion. ## Example Structured Questions (AI to formulate): * "Propose Project Success Criterion for Goal '[Goal]': '[Proposed Metric]'? (Yes/No)" * "Propose Acceptance Criterion for Deliverable '[Deliverable Name]': '[Proposed Criterion]'? (Yes/No)" * **[IF rejected]:** "Understood. Please provide feedback on the proposed [Type of Criterion] for [Goal/Deliverable/Task]." (Freeform expected) * **[IF Active]:** "Is the definition of Success Metrics complete and accepted for now? (Yes/No)" ---